* Update model kwargs and temperature values
* Update keyboard shortcuts for advanced editing
* make Message field have no handles
* Update OpenAI API Key handling in OpenAIEmbeddingsComponent
* Remove unnecessary field_type key from CustomComponent class
* Update required field behavior in CustomComponent class
* Refactor AzureOpenAIModel.py: Removed unnecessary "required" attribute from input parameters
* Update BaiduQianfanChatModel and OpenAIModel configurations
* Fix range_spec step type validation
* Update RangeSpec step_type default value to "float"
* Fix Save debounce
* Update parameterUtils to use debounce instead of throttle
* Update input type options in schemas and graph base classes
* Refactor run_flow_with_caching endpoint to include simplified and experimental versions
* Add PythonFunctionComponent and test case for it
* Add nest_asyncio to fix event loop issue
* Refactor test_initial_setup.py to use RunOutputs instead of ResultData
* Remove unused code in test_endpoints.py
* Add asyncio loop to uvicorn command
* Refactor load_session method to handle coroutine result
* Fixed saving
* Fixed debouncing
* Add InputType and OutputType literals to schema.py
* Update input type in Graph class
* Add new schema for simplified API request
* Add delete_messages function and update test_successful_run assertions
* Add STREAM_INFO_TEXT constant to model components
* Add session_id to simplified_run_flow_with_caching endpoint
* Add field_typing import to OpenAIModel.py
* update starter projects
* Add constants for Langflow base module
* Update setup.py to include latest component versions
* Update Starter Examples
* sets starter_project fixture to Basic Prompting
* Refactor test_endpoints.py: Update test names and add new tests for different output types
* Update HuggingFace Spaces link and add image for dark mode
* Remove filepath reference
* Update Vertex params in base.py
* Add tests for different input types
* Add type annotations and improve test coverage
* Add duplicate space link to README
* Update HuggingFace Spaces badge in README
* Add Python 3.10 installation requirement to README
* Refactor flow running endpoints
* Refactor SimplifiedAPIRequest and add documentation for Tweaks
* Refactor input_request parameter in simplified_run_flow function
* Add support for retrieving specific component output
* Add custom Uvicorn worker for Langflow application
* Add asyncio loop to LangflowApplication initialization
* Update Makefile with new variables and start command
* Fix indentation in Makefile
* Refactor run_graph function to add support for running a JSON flow
* Refactor getChatInputField function and update API code
* Update HuggingFace Spaces documentation with duplication process
* Add asyncio event loop to uvicorn command
* Add installation of backend in start target
* udpate some starter projects
* Fix formatting in hugging-face-spaces.mdx
* Update installation instructions for Langflow
* set examples order
* Update start command in Makefile
* Add installation and usage instructions for Langflow
* Update Langflow installation and usage instructions
* Fix langflow command in README.md
* Fix broken link to HuggingFace Spaces guide
* Add new SVG assets for blog post, chat bot, and cloud docs
* Refactor example rendering in NewFlowModal
* Add new SVG file for short bio section
* Remove unused import and add new component
* Update title in usage.mdx
* Update HuggingFace Spaces heading in usage.mdx
* Update usage instructions in getting-started/usage.mdx
* Update cache option in usage documentation
* Remove 'advanced' flag from 'n_messages' parameter in MemoryComponent.py
* Refactor code to improve performance and readability
* Update project names and flow examples
* fix document qa example
* Remove commented out code in sidebars.js
* Delete unused documentation files
* Fix bug in login functionality
* Remove global variables from components
* Fix bug in login functionality
* fix modal returning to input
* Update max-width of chat message sender name
* Update styling for chat message component
* Refactor OpenAIEmbeddingsComponent signature
* Update usage.mdx file
* Update path in Makefile
* Add new migration and what's new documentation files
* Add new chapters and migration guides
* Update version to 0.0.13 in pyproject.toml
* new locks
* Update dependencies in pyproject.toml
* general fixes
* Update dependencies in pyproject.toml and poetry.lock files
* add padding to modal
* ✨ (undrawCards/index.tsx): update the SVG used for BasicPrompt component to undraw_short_bio_re_fmx0.svg to match the desired design
♻️ (undrawCards/index.tsx): adjust the width and height of the BasicPrompt SVG to 65% to improve the visual appearance
* Commented out components/data in sidebars.js
* Refactor component names in outputs.mdx
* Update embedded chat script URL
* Add data component and fix formatting in outputs component
* Update dependencies in poetry.lock and pyproject.toml
* Update dependencies in poetry.lock and pyproject.toml
* Refactor code to improve performance and readability
* Update dependencies in poetry.lock and pyproject.toml
* Fixed IO Modal updates
* Remove dead code at API Modal
* Fixed overflow at CodeTabsComponent tweaks page
* ✨ (NewFlowModal/index.tsx): update the name of the example from "Blog Writter" to "Blog Writer" for better consistency and clarity
* Update dependencies versions
* Update langflow-base to version 0.0.15 and fix setup_env script
* Update dependencies in pyproject.toml
* Lock dependencies in parallel
* Add logging statement to setup_app function
* Fix Ace not having type="module" and breaking build
* Update authentication settings for access token cookie
* Update package versions in package-lock.json
* Add scripts directory to Dockerfile
* Add setup_env command to build_and_run target
* Remove unnecessary make command in setup_env
* Remove unnecessary installation step in build_and_run
* Add debug configuration for CLI
* 🔧 chore(Makefile): refactor build_langflow target to use a separate script for updating dependencies and building
✨ feat(update_dependencies.py): add script to update pyproject.toml dependency version based on langflow-base version in src/backend/base/pyproject.toml
* Add number_of_results parameter to AstraDBSearchComponent
* Update HuggingFace Spaces links
* Remove duplicate imports in hugging-face-spaces.mdx
* Add number_of_results parameter to vector search components
* Fixed supabase not commited
* Revert "Fixed supabase not commited"
This reverts commit afb10a6262.
* Update duplicate-space.png image
* Delete unused files and components
* Add/update script to update dependencies
* Add .bak files to .gitignore
* Update version numbers and remove unnecessary dependencies
* Update langflow-base dependency path
* Add Text import to VertexAiModel.py
* Update langflow-base version to 0.0.16 and update dependencies
* Delete start projects and commit session in delete_start_projects function
* Refactor backend startup script to handle autologin option
* Update poetry installation script to include pipx update check
* Update pipx installation script for different operating systems
* Update Makefile to improve setup process
* Add error handling on streaming and fix streaming bug on error
* Added description to Blog Writer
* Sort base classes alphabetically
* Update duplicate-space.png image
* update position on langflow prompt chaining
* Add Langflow CLI and first steps documentation
* Add exception handling for missing 'content' field in search_with_vector_store method
* Remove unused import and update type hinting
* fix bug on egdes after creating group component
* Refactor APIRequest class and update model imports
* Remove unused imports and fix formatting issues
* Refactor reactflowUtils and styleUtils
* Add CLI documentation to getting-started/cli.mdx
* Add CLI usage instructions
* Add ZoomableImage component to first-steps.mdx
* Update CLI and first steps documentation
* Remove duplicate import and add new imports for ThemedImage and useBaseUrl
* Update Langflow CLI documentation link
* Remove first-steps.mdx and update index.mdx and sidebars.js
* Update Docusaurus dependencies
* Add AstraDB RAG Flow guide
* Remove unused imports
* Remove unnecessary import statement
* Refactor guide for better readability
* Add data component documentation
* Update component headings and add prompt template
* Fix logging level and version display
* Add datetime import and buffer for alembic log
* Update flow names in NewFlowModal and documentation
* Add starter projects to sidebars.js
* Fix error handling in DirectoryReader class
* Handle exception when loading components in setup.py
* Update version numbers in pyproject.toml files
* Update build_langflow_base and build_langflow_backup in Makefile
* Added docs
* Update dependencies and build process
* Add Admonition component for API Key documentation
* Update API endpoint in async-api.mdx
* Remove async-api guidelines
* Fix UnicodeDecodeError in DirectoryReader
* Update dependency version and fix encoding issues
* Add conditional build and publish for base and main projects
* Update version to 1.0.0a2 in pyproject.toml
* Remove duplicate imports and unnecessary code in custom-component.mdx
* Fix poetry lock command in Makefile
* Update package versions in pyproject.toml
* Remove unused components and update imports
* 📦 chore(pre-release-base.yml): add pre-release workflow for base project
📦 chore(pre-release-langflow.yml): add pre-release workflow for langflow project
* Add ChatLiteLLMModelComponent to models package
* Add frontend installation and build steps
* Add Dockerfile for building and pushing base image
* Add emoji package and nest-asyncio dependency
* 📝 (components.mdx): update margin style of ZoomableImage to improve spacing
📝 (features.mdx): update margin style of ZoomableImage to improve spacing
📝 (login.mdx): update margin style of ZoomableImage to improve spacing
* Fix module import error in validate.py
* Fix error message in directory_reader.py
* Update version import and handle ImportError
* Add cryptography and langchain-openai dependencies
* Update poetry installation and remove poetry-monorepo-dependency-plugin
* Update workflow and Dockerfile for Langflow base pre-release
* Update display names and descriptions for AstraDB components
* Update installation instructions for Langflow
* Update Astra DB links and remove unnecessary imports
* Rename AstraDB
* Add new components and images
* Update HuggingFace Spaces URLs
* Update Langflow documentation and add new starter projects
* Update flow name to "Basic Prompting (Hello, world!)" in relevant files
* Update Basic Prompting flow name to "Ahoy World!"
* Remove HuggingFace Spaces documentation
* Add new files and update sidebars.js
* Remove async-tasks.mdx and update sidebars.js
* Update starter project URLs
* Enable migration of global variables
* Update OpenAIEmbeddings deployment and model
* 📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (inputs.mdx): add margin to image style to improve spacing and center alignment
📝 (rag-with-astradb.mdx): add margin to image styles to improve spacing and readability
* Update welcome message in index.mdx
* Add global variable feature to Langflow documentation
* Reorganized sidebar categories
* Update migration documentation
* Refactor SplitTextComponent class to accept inputs of type Record and Text
* Adjust embeddings docs
* ✨ (cardComponent/index.tsx): add a minimum height to the card component to ensure consistent layout and prevent content from overlapping when the card is empty or has minimal content
* Update flow name from "Ahoy World!" to "Hello, world!"
* Update documentation for embeddings, models, and vector stores
* Update CreateRecordComponent and parameterUtils.ts
* Add documentation for Text and Record types
* Remove commented lines in sidebars.js
* Add run_flow_from_json function to load.py
* Update Langflow package to run flow from JSON file
* Fix type annotations and import errors
* Refactor tests and fix test data
---------
Co-authored-by: Rodrigo Nader <rodrigosilvanader@gmail.com>
Co-authored-by: anovazzi1 <otavio2204@gmail.com>
Co-authored-by: Lucas Oliveira <lucas.edu.oli@hotmail.com>
Co-authored-by: carlosrcoelho <carlosrodrigo.coelho@gmail.com>
Co-authored-by: cristhianzl <cristhian.lousa@gmail.com>
Co-authored-by: Matheus <jacquesmats@gmail.com>
🐛 fix(flows.py): change Flow.from_orm() to Flow.model_validate() to ensure data integrity and validation
🐛 fix(users.py): remove unused import statements to improve code cleanliness and maintainability
🐛 fix(users.py): change User.from_orm() to User.model_validate() to ensure data integrity and validation
🐛 fix(LLMChain.py): remove unused import statements to improve code cleanliness and maintainability
🐛 fix(LLMChain.py): remove unnecessary line breaks to improve code readability
🐛 fix(base.py): remove unused import statements to improve code cleanliness and maintainability
🐛 fix(base.py): remove unnecessary line breaks to improve code readability
🐛 fix(base.py): fix condition to append vertex_id to top_level_vertices to avoid appending non-string values
🐛 fix(vertex/base.py): add parent_node_id attribute to Vertex class to support hierarchical graph structures
🐛 fix(base.py): remove unused import statements to improve code cleanliness and maintainability
🚀 feat(GroupTest): add a new node for a simple chat with a custom prompt template and conversational memory buffer
ℹ️ This commit adds a new node to the GroupTest project. The node is a genericNode with the following properties:
- Width: 384
- Height: 621
- ID: ChatOpenAI-rUJ1b
- Type: genericNode
- Position: x: 170.87326389541306, y: 465.8628482073749
- Data:
- Type: ChatOpenAI
- Node:
- Template:
- Callbacks:
- Required: false
- Placeholder: ""
- Show: false
- Multiline: false
- Password: false
- Name: callbacks
- Advanced: false
- Dynamic: false
- Info: ""
- Type: langchain.callbacks.base.BaseCallbackHandler
- List: true
- Cache:
- Required: false
- Placeholder: ""
- Show: false
- Multiline: false
- Password: false
- Name: cache
- Advanced: false
- Dynamic: false
- Info: ""
- Type: bool
- List: false
- Client:
- Required: false
- Placeholder: ""
- Show: false
- Multiline: false
- Password: false
- Name: client
- Advanced: false
- Dynamic: false
- Info: ""
- Type: Any
- List: false
- Max Retries:
- Required: false
- Placeholder: ""
- Show: false
- Multiline: false
- Value: 6
- Password: false
- Name: max_retries
- Advanced: false
- Dynamic: false
- Info: ""
- Type: int
- List: false
- Max Tokens:
- Required: false
- Placeholder: ""
- Show: true
- Multiline: false
- Password: true
- Name: max_tokens
- Advanced: false
- Dynamic: false
- Info: ""
- Type: int
- List: false
🔧 chore: fix formatting issue in code
📝 docs: update documentation link for `OpenAI` Chat large language models API
🔧 chore: update prompt template configuration in LLMChain node
📝 docs: add documentation link for PromptTemplate in the description
📝 chore(grouped_chat.json): add grouped_chat.json test data file
This commit adds the `grouped_chat.json` file to the `tests/data` directory. The file contains a JSON object representing grouped chat data. This file is necessary for testing and will be used in the test suite.
📝 chore(one_group_chat.json): add one_group_chat.json test data file
This commit adds the one_group_chat.json file, which contains a simple chat with a custom prompt template and conversational memory buffer. This file is used for testing purposes.
🔧 chore: update node configuration for ConversationBufferMemory, ChatOpenAI, and LLMChain
📝 docs: update documentation links for ConversationBufferMemory and LLMChain
🔧 fix: update prompt template in LLMChain to include conversation history and text input variables
🔧 fix: update ConversationBufferMemory node to include description and documentation link
🎨 style: format and organize code for better readability and maintainability
🆕 feat(Vector Store): add Vector Store agent and Vector Store Info node
The Vector Store agent allows querying a Vector Store. It can be used to construct an agent from a Vector Store. The Vector Store Info node provides information about a Vector Store.
The Vector Store agent and Vector Store Info node are added to support the functionality of querying a Vector Store.
🔧 chore: update configuration options in the OpenAI API client
The configuration options in the OpenAI API client have been updated. This commit includes changes to the following options:
- `max_tokens`: Removed the `required` flag and set `show` to `true`
- `metadata`: Set `show` to `false`
- `model_kwargs`: Set `show` to `true` and `advanced` to `true`
- `model_name`: Added options `gpt-3.5-turbo-0613`, `gpt-3.5-turbo`, `gpt-3.5-turbo-16k-0613`, `gpt-3.5-turbo-16k`, `gpt-4-0613`, `gpt-4-32k-0613`, `gpt-4`, `gpt-4-32k`
- `n`: Removed the `show` flag
- `openai_api_base`: Added `display_name` as "OpenAI API Base" and updated `info` with additional details
- `openai_api_key`: Removed the `required` flag and set `show` to `true`
- `openai_organization`: Removed the `show` flag
- `openai_proxy`: Removed the `show` flag
- `request_timeout`: Removed the `show` flag
- `streaming`: Removed the `show` flag
- `tags`: Removed the `show` flag
- `temperature`: Removed the `show` flag
- `tiktoken_model_name`: Removed the `show` flag
- `verbose`: Removed the `show` flag
🔧 chore: update configuration for ChatOpenAI and Chroma nodes
The configuration for the ChatOpenAI and Chroma nodes has been updated. This includes changes to the allowed_special, disallowed_special, chunk_size, client, deployment, embedding_ctx_length, and max_retries properties. These changes were made to improve the functionality and performance of the nodes.
🔧 chore(config): update OpenAIEmbeddings-YwSvx configuration options
The OpenAIEmbeddings-YwSvx configuration options have been updated to include new fields and values. This commit updates the configuration file to reflect these changes.
🔧 chore(config): update configuration options for OpenAIEmbeddings and Chroma
🔧 chore(config): update configuration options for OpenAIEmbeddings and Chroma to improve flexibility and customization
🔧 chore: update configuration options for RecursiveCharacterTextSplitter and WebBaseLoader in flow
The configuration options for RecursiveCharacterTextSplitter and WebBaseLoader in the flow have been updated. The changes include:
- Persist Directory - Chroma: The persist directory option for Chroma has been modified.
- Search Kwargs - Chroma: The search kwargs option for Chroma has been modified.
- Chunk Overlap - RecursiveCharacterTextSplitter: The chunk overlap option for RecursiveCharacterTextSplitter has been modified.
- Chunk Size - RecursiveCharacterTextSplitter: The chunk size option for RecursiveCharacterTextSplitter has been modified.
- Separator Type - RecursiveCharacterTextSplitter: The separator type option for RecursiveCharacterTextSplitter has been modified.
- Separator - RecursiveCharacterTextSplitter: The separator option for RecursiveCharacterTextSplitter has been modified.
- Metadata - WebBaseLoader: The metadata option for WebBaseLoader has been modified.
- Web Page - WebBaseLoader: The web page option for WebBaseLoader has been modified.
🔧 chore(OpenAIEmbeddings): update OpenAIEmbeddings configuration options
The OpenAIEmbeddings node configuration options have been updated to include the following changes:
- `allowed_special` and `disallowed_special` now accept a list of values instead of a single value
- `chunk_size` now accepts an integer value
- `deployment` now accepts a string value
- `embedding_ctx_length` now accepts an integer value
- `headers` now supports multiline values
- `max_retries` now accepts an integer value
- `model` now accepts a string value
- `model_kwargs` now accepts code input
- `openai_api_base` now accepts a password input
- `openai_api_key` now accepts a password input
- `openai_api_type` now accepts a password input
- `openai_api_version` now accepts a password input
- `openai_organization` has been removed from the configuration options
🔧 chore: update OpenAIEmbeddings configuration options in the UI
The OpenAIEmbeddings configuration options in the UI have been updated to include the following changes:
- Added the `openai_organization` option to specify the OpenAI organization.
- Added the `openai_proxy` option to configure the OpenAI proxy.
- Added the `request_timeout` option to set the request timeout.
- Added the `show_progress_bar` option to control the visibility of the progress bar.
- Changed the `tiktoken_model_name` option to be a password field.
- Updated the documentation link for OpenAIEmbeddings.
This commit updates the configuration options to improve the usability and functionality of the OpenAIEmbeddings module in the UI.
🔧 chore: clean up unused code and remove unnecessary fields in the configuration file
📝 docs: update documentation link for the Chroma vectorstore module
🔧 chore: update configuration options for RecursiveCharacterTextSplitter in flow
The configuration options for the RecursiveCharacterTextSplitter node in the flow have been updated. The following changes were made:
- `chunk_size` option: The default value has been changed to 1000.
- `separator_type` option: The available options have been updated to include "Text", "cpp", "go", "html", "java", "js", "latex", "markdown", "php", "proto", "python", "rst", "ruby", "rust", "scala", "sol", and "swift".
- `separators` option: The default value has been changed to ".".
These changes were made to improve the usability and flexibility of the RecursiveCharacterTextSplitter node in the flow.
📝 chore(vector_store_grouped.json): add vector_store_grouped.json test data file
🔀 chore(vector_store_grouped.json): add vector_store_grouped.json test data file
🔨 refactor(test_graph.py): reformat import statements and improve code readability
🔨 refactor(test_prompts_template.py): change dynamic attribute to True for input variables, output parser, partial variables, template, and validate template
🔨 refactor(test_template.py): reformat import statements and remove duplicate import of BaseModel
🔨 refactor(test_template.py): update value for options in format_dict test
🔧 chore(conftest.py): add new path for vector_store_grouped.json file to improve test coverage
🆕 feat(Vector Store): add Vector Store agent and Vector Store Info node
The Vector Store agent allows querying a Vector Store. It can be used to construct an agent from a Vector Store. The Vector Store Info node provides information about a Vector Store.
The Vector Store agent and Vector Store Info node are added to support the functionality of querying a Vector Store.
🔧 chore: update configuration options in the code
📝 docs: add information about the OpenAI API Base configuration option in the code comments
🔧 chore: update configuration for ChatOpenAI and Chroma nodes
📝 docs: update documentation for ChatOpenAI and Chroma nodes
🔧 chore(config): update OpenAIEmbeddings-YwSvx configuration options
The OpenAIEmbeddings-YwSvx configuration options have been updated to include new fields and values. This commit updates the configuration file to reflect these changes.
🔧 chore(config): update configuration options for OpenAIEmbeddings and Chroma
🔧 chore(config): update configuration options for OpenAIEmbeddings and Chroma to improve flexibility and customization
🔧 chore(config): update configuration options for RecursiveCharacterTextSplitter and WebBaseLoader
📝 docs(config): update configuration options for RecursiveCharacterTextSplitter and WebBaseLoader in documentation
🔧 chore(OpenAIEmbeddings): update OpenAIEmbeddings configuration options
The OpenAIEmbeddings node configuration options have been updated to include the following changes:
- `allowed_special` and `disallowed_special` now accept a list of values instead of a single value
- `chunk_size` now accepts an integer value
- `deployment` now accepts a string value
- `embedding_ctx_length` now accepts an integer value
- `headers` now supports multiline values
- `max_retries` now accepts an integer value
- `model` now accepts a string value
- `model_kwargs` now accepts code input
- `openai_api_base` now accepts a password input
- `openai_api_key` now accepts a password input
- `openai_api_type` now accepts a password input
- `openai_api_version` now accepts a password input
- `openai_organization` has been removed from the configuration options
🔧 chore: update OpenAIEmbeddings configuration options in the UI
The OpenAIEmbeddings configuration options in the UI have been updated to include the following changes:
- Added the `openai_organization` option to specify the OpenAI organization.
- Added the `openai_proxy` option to configure the OpenAI proxy.
- Added the `request_timeout` option to set the request timeout.
- Added the `show_progress_bar` option to control the display of progress bars.
- Added the `tiktoken_model_name` option to specify the Tiktoken model name.
These changes improve the flexibility and customization of the OpenAI embedding models.
🔧 chore: clean up unused code and remove unnecessary fields in the configuration file
📝 docs: update documentation link for the Chroma vectorstore module
🔧 fix: fix formatting issue in chunk_size field in RecursiveCharacterTextSplitter node configuration
🔧 fix: fix formatting issue in separator_type field in RecursiveCharacterTextSplitter node configuration
🔧 fix: fix formatting issue in separators field in RecursiveCharacterTextSplitter node configuration
📝 chore(vector_store_grouped.json): add vector_store_grouped.json test data file
🔀 chore(vector_store_grouped.json): add vector_store_grouped.json test data file
✅ test(graph.py): add test case for processing flow with grouped nodes and vector store
🔍 test(graph.py): add assertions to verify the correctness of the processed flow with grouped nodes and vector store
🔧 test(graph.py): update test case for updating template to make a deep copy of sample_nodes to keep it unchanged
🔧 chore(conftest.py): add one_grouped_chat_json_flow fixture to read and return the contents of the one_group_chat.json file
📝 chore(one_group_chat.json): add one_group_chat.json test data file
This commit adds the one_group_chat.json file to the tests/data directory. The file contains a simple chat with a custom prompt template and conversational memory buffer. It is used for testing purposes.
🔧 chore: update node configuration for ConversationBufferMemory, ChatOpenAI, and LLMChain
📝 docs: update documentation links for ConversationBufferMemory and LLMChain
🔧 fix: update prompt template in LLMChain to include conversation history and text input variables
🔧 fix: update ConversationBufferMemory node to include description and documentation links
🎨 style: format and organize code for better readability and maintainability
🐛 fix(conftest.py): update LANGFLOW_REDIS_HOST and BROKER_URL environment variables to use "result_backend" instead of "queue" for better clarity and accuracy
🔧 fix(endpoints.py): move import statement to the top of the file for better organization and readability
🔧 fix(getters.py): change service type from DATABASE_MANAGER to DATABASE_SERVICE for consistency and clarity
🔧 fix(getters.py): change service type from CACHE_MANAGER to CACHE_SERVICE for consistency and clarity
🔧 fix(getters.py): change service type from SESSION_MANAGER to SESSION_SERVICE for consistency and clarity
🔧 fix(getters.py): change service type from TASK_MANAGER to TASK_SERVICE for consistency and clarity
🔧 fix(getters.py): remove unused function get_chat_service() to improve code cleanliness and maintainability
🔧 fix(getters.py): remove duplicate function get_settings_service() to improve code cleanliness and maintainability
🔧 fix(getters.py): remove duplicate function get_db_service() to improve code cleanliness and maintainability
🔧 fix(getters.py): remove duplicate function get_session() to improve code cleanliness and maintainability
🔧 fix(utils.py): remove unused import statement to improve code cleanliness and maintainability
🔧 fix(utils.py): remove unused function setup_superuser() to improve code cleanliness and maintainability
🔧 fix(utils.py): remove unused function teardown_superuser() to improve code cleanliness and maintainability
🔧 fix(utils.py): remove unused function teardown_services() to improve code cleanliness and maintainability
🔧 fix(utils.py): remove unused function initialize_settings_manager() to improve code cleanliness and maintainability
🔧 fix(utils.py): remove unused function initialize_session_manager() to improve code cleanliness and maintainability
🔧 fix(utils.py): remove unused function initialize_services() to improve code cleanliness and maintainability
🔧 fix(conftest.py): remove unused import statement to improve code cleanliness and maintainability
🔧 fix(conftest.py): remove unused function get_session_override() to improve code cleanliness and maintainability
🔧 fix(conftest.py): remove unused function distributed_client_fixture() to improve code cleanliness and maintainability
🔧 fix(conftest.py): remove unused function client_fixture() to improve code cleanliness and maintainability
🔧 fix(conftest.py): remove unused function test_user() to improve code cleanliness and maintainability
🔧 fix(conftest.py): remove unused function active_user
🐛 fix(test_endpoints.py): update import statements to use get_db_service instead of get_db_manager to improve code semantics
🐛 fix(test_login.py): update import statements to use get_db_service instead of get_db_manager to improve code semantics
🐛 fix(test_setup_superuser.py): update import statements to use get_db_service instead of get_db_manager to improve code semantics
🐛 fix(test_user.py): update import statements to use get_db_service instead of get_db_manager to improve code semantics
✨ feat(tests): add assertion for response status code 201 after creating a user
🐛 fix(tests): update endpoint path from "/api/v1/user/{user_id}" to "/api/v1/users/{user_id}" for consistency and clarity
🐛 fix(tests): update endpoint path from "/api/v1/user" to "/api/v1/users/whoami" to fetch the updated user
🐛 fix(tests): update endpoint path from "/api/v1/user/{user_id}" to "/api/v1/users/{user_id}" for consistency and clarity
🐛 fix(tests): update endpoint path from "/api/v1/user/{user_id}" to "/api/v1/users/{user_id}" for consistency and clarity
✨ feat(tests): add assertion for response status code 401 and detail message after fetching the updated user
✨ feat(tests): add assertion for response status code 200 after deleting a user
🐛 fix(tests): update endpoint path from "/api/v1/user/{user_id}" to "/api/v1/users/{user_id}" for consistency and clarity
✨ feat(tests): add assertion for response status code 200 and detail message after deleting a user
🐛 fix(tests): update endpoint path from "/api/v1/user/{user_id}" to "/api/v1/users/{user_id}" for consistency and clarity
🐛 fix(tests): update endpoint path from "/api/v1/user/{user_id}" to "/api/v1/users/{user_id}" for consistency and clarity
✨ feat(tests): add assertion for response status code 304 after patching user data
✨ feat(tests): add assertion for response status code 200 after resetting user password
🐛 fix(tests): update endpoint path from "/api/v1/user/{user_id}" to "/api/v1/users/{user_id}" for consistency and clarity
✨ feat(tests): add assertion for response status code 422 and detail message after patching user data with wrong id
🐛 fix(tests): update endpoint path from "/api/v1/user/{user_id}" to "/api/v1/users/{user_id}" for consistency and clarity
✨ feat(tests): add assertion for response
🔧 chore(conftest.py): add pytest fixture for loading JSON flow with prompt and history
🔧 chore(conftest.py): add pytest fixture for adding a flow with prompt and history to the database
✨ feat(conftest.py): add fixture 'flow' to create a test flow in tests/conftest.py
🐛 fix(test_endpoints.py): import missing get_settings_manager function in tests/test_endpoints.py to fix NameError
✨ feat(test_endpoints.py): add test case 'test_process_flow_without_autologin' to test flow processing without auto login
🐛 fix(test_endpoints.py): fix incorrect endpoint URL in test case 'test_process_flow_without_autologin' in tests/test_endpoints.py
✨ feat(test_endpoints.py): add test case 'test_process_flow_fails_autologin_off' to test flow processing failure when auto login is off
🐛 fix(base.py): add optional user_id parameter to _build and _build_list_of_nodes_and_update_params methods in Vertex class to support building with user-specific data
🐛 fix(base.py): add optional user_id parameter to _get_and_instantiate_class method in Vertex class to support building with user-specific data
🐛 fix(custom_component.py): add user_id attribute to CustomComponent class to store the user ID associated with the component
🐛 fix(custom_component.py): add user_id parameter to list_flows method in CustomComponent class to filter flows by user ID
🐛 fix(custom_component.py): add user_id parameter to get_flow method in CustomComponent class to filter flows by user ID
🐛 fix(conftest.py): add client parameter to active_user fixture in tests to fix missing dependency error
✨ feat(test_api_key.py): add tests for API key creation, retrieval, and deletion
✨ feat(test_user.py): remove unused fixtures and imports from test_user.py module
✨ feat(conftest.py): add session_getter fixture to create a blank session for testing
🔧 fix(test_custom_component.py): pass session_getter fixture to list_flows function for testing
The following changes were made:
- Removed the `custom_chain` fixture and the `MyCustomChain` and `CustomChain` classes as they were not being used.
- Removed the `data_processing`, `filter_docs`, `get_request`, and `post_request` fixtures as they were not being used.
🔧 fix(test_agents_template.py): set "dynamic" property to False for all template variables to ensure consistency and improve clarity
🐛 fix(test_chains_template.py): add missing "dynamic" field to template dictionaries to ensure consistency and avoid potential bugs
🔧 fix(test_custom_component.py): fix import statements and remove unused imports to improve code readability and maintainability
✨ feat(test_custom_component.py): add tests for the initialization of the CodeParser, Component, and CustomComponent classes
🔧 fix(test_custom_component.py): fix test names and add missing test cases for the Component and CustomComponent classes
🔨 refactor: refactor server.ts to use uppercase PORT variable for improved semantics
✨ feat: add support for process.env.PORT environment variable to run app on configurable port
🔨 refactor: refactor CustomComponent tests for improved readability and maintainability
🔨 refactor: refactor CodeParser tests for improved readability and maintainability
🔨 refactor: refactor Component tests for improved readability and maintainability
🐛 fix: fix CustomComponent class template validation to raise HTTPException when code is None
🔧 fix(tests): fix syntax error in custom_component._class_template_validation
✨ feat(tests): add test_custom_component_get_code_tree_syntax_error to test CustomComponent.get_code_tree method for raising CodeSyntaxError when given incorrect syntax
✨ feat(tests): add test_custom_component_get_function_entrypoint_args_no_args to test CustomComponent.get_function_entrypoint_args property with a build method with no arguments
✨ feat(tests): add test_custom_component_get_function_entrypoint_return_type_no_return_type to test CustomComponent.get_function_entrypoint_return_type property with a build method with no return type
✨ feat(tests): add test_custom_component_get_main_class_name_no_main_class to test CustomComponent.get_main_class_name property when there is no main class
✨ feat(tests): add test_custom_component_build_not_implemented to test CustomComponent.build method for raising NotImplementedError
✨ feat(tests): add fixtures for custom_chain, data_processing, filter_docs, and get_request
🔧 fix(tests): remove commented out code and unused imports to improve code readability and maintainability
🐛 fix(test_llms_template.py): set "dynamic" property to False for all template properties to ensure static values are used
🐛 fix(test_prompts_template.py): set "dynamic" property to False for all template properties to ensure consistency and improve readability
- Refactor code parsing in `code_parser.py` to handle imports, function definitions, and class attributes more robustly and cleanly.
- Add new methods in `component.py` to parse Assign and AnnAssign statements, and FunctionDef statements.
- Refactor `custom_component.py` to improve the handling of custom components, including better extraction of main class name and template configuration.
- Update `types.py` to better handle the building of custom component templates, including handling of field configurations and error handling.
- Minor formatting fix in `conftest.py` test fixture.
These changes improve the robustness and readability of the code, and provide better handling and validation of custom components.
